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• Additive Manufacturing
• Materials Science
• Advanced Materials Processing
• +5 more

Geethapriyan Thangamani serves as a Fixed-term Assistant Professor within the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, Italy. His academic appointment centers on advanced materials and manufacturing technologies, with active participation in multiple degree programs including Chemical and Materials Engineering, Mechanical and Aerospace Engineering. His research portfolio demonstrates deep specialization in: Additive Manufacturing (particularly for metallic materials) Advanced Materials Processing Shape Memory Alloys development and characterization Materials for Biomedical Applications Corrosion and Biocompatibility Engineering Analysis of his publication record reveals intense focus on laser-based post-processing techniques for additively manufactured components, especially examining mechanical property enhancement through laser shock peening. His work frequently addresses Wire Arc Additive Manufacturing (WAAM) of stainless steels and nickel-titanium alloys, with particular attention to bone implant applications. The research integrates materials characterization, mechanical testing, and process optimization to solve challenges in biomedical and industrial applications. Dr. Thangamani actively contributes to graduate education through specialized courses on Additive Manufacturing Systems and Materials, Failure Analysis, and Advanced Manufacturing Materials across multiple Master's programs. His academic activities align with UN Sustainable Development Goals 9 (Industry, Innovation, and Infrastructure) and 12 (Responsible Consumption and Production), reflecting commitment to sustainable manufacturing solutions. His research activities are conducted through the Institute of Science and Engineering of Materials for Innovative Technologies (DISAT), where he collaborates on interdisciplinary projects targeting advanced manufacturing solutions. While specific grant details aren't provided in available sources, his publication output indicates active engagement in materials research with industrial and biomedical applications.

• Renewable Energy
• Thermodynamics
• Heat Transfer
• +3 more

Prof. Sebastiano Tomassetti is a Researcher at the Department of Industrial Engineering and Mathematical Sciences (DIISM) , Università Politecnica delle Marche (UNIVPM) , specializing in Industrial Technical Physics (IIND-07/A). His work focuses on renewable energy systems, thermodynamics, and refrigerant properties. Scientific sector: IIND-07/A - Industrial Technical Physics Institution: UNIVPM, College of Engineering Email: s.tomassetti@univpm.it Research Interests include: Solar energy systems, particularly solar cookers and dryers Thermophysical properties of low-GWP refrigerants Phase change materials for thermal storage Machine learning applications in thermal conductivity modeling Thermodynamic equilibrium in industrial fluids Experimental validation of energy systems Publications Trends show consistent focus on renewable energy technologies (2017-2025), with recent emphasis on low-GWP refrigerants and solar cooker innovations . His work combines experimental analysis with machine learning modeling , addressing both industrial thermodynamics and sustainable energy solutions . Contact: s.tomassetti@univpm.it

• Fluid Dynamics
• Computational Fluid Dynamics
• Numerical Methods
• +4 more

Carmine De Bartolo is an Assistant Professor in the Department of Mechanical, Energy and Management Engineering at the University of Calabria, specializing in Energy and Environmental Systems (IIND-06/B). He has been with the university since 2001, teaching courses including Numerical Models for Fluid Dynamics, Machinery Fluid Dynamics, and Computational Fluid Dynamics for Energy Engineering (scheduled for 2025). He serves on the Ph.D. advisory board at the University of Calabria. De Bartolo earned his Mechanical Engineering degree from the University of Calabria in 1991 and completed his Ph.D. at the University of Genova in 1995. Prior to joining Calabria, he served as an assistant professor of hydraulic and thermal machines at the University of Pavia from 1996 to 2001. His research focuses on advanced numerical methods for fluid dynamics, particularly high-order discontinuous Galerkin finite element methods. He leads the development of these methods for the Center of Excellence on High Performance Computing at University of Calabria, supported by the Italian Ministry of University and Research. His specific interests include design of numerical methods for compressible and incompressible flows, magnetohydrodynamics, and numerical and experimental analysis of complex flow in turbomachinery and internal combustion engines. Analysis of his recent publications reveals a consistent focus on advancing discontinuous Galerkin methods for various flow regimes, with particular emphasis on time integration techniques, matrix-free implementations, and applications to both compressible and incompressible flows. His work bridges theoretical development with practical engineering applications, especially in energy systems and propulsion. De Bartolo has participated in numerous research projects including the CEE BRITE PROGRAMME '3D Facsimile' (1998-2002), Italian Ministry of Research PRIN 2005 grant, 'Bioengineering virtual systems' project, Calabria Regional Government P.O.R 2000-2006 grant, 'SES-Smart aEolic System' for wind generator efficiency, and the Italian Ministry of Research PRIN 2008 grant for high-order Discontinuous Galerkin methods. He is an active member of the 'Sistemi per l'Energia e l'Ambiente' (Energy and Environmental Systems) research group, collaborating with colleagues including Algieri Angelo, Fragiacomo Petronilla, De Lorenzo Giuseppe, and Corigliano Orlando. His laboratory work involves the 'Fluidodinamica e Sistemi Energetici' (Fluid Dynamics and Energy Systems) facility, where research combines theoretical, numerical, and experimental approaches to energy conversion systems.

Gian Marco RevelView profile

Professor

• Mechanical Measurements
• Thermal Measurements
• Structural Health Monitoring
• +7 more

Gian Marco Revel is a Professor at Marche Polytechnic University (Università Politecnica delle Marche), affiliated with the Faculty of Engineering and the Department of Industrial Engineering and Mathematical Sciences. His academic role centers on mechanical and thermal measurements (scientific sector IMIS-01/A), with extensive contributions to sensor systems development and structural health monitoring applications. Based at Via Brecce Bianche in Ancona, Italy, Professor Revel maintains active research leadership while teaching within the university's engineering programs. Professor Revel's research program demonstrates remarkable breadth across multiple engineering domains while maintaining focus on measurement science fundamentals. His work bridges traditional mechanical engineering with cutting-edge applications in sustainable construction, elderly care technology, and structural monitoring systems. Key research thrusts include the development of non-invasive sensor networks for human activity recognition, advanced techniques for construction waste characterization, and innovative approaches to thermal property measurement. His methodology consistently integrates metrological rigor with practical engineering solutions, particularly evident in his work on uncertainty analysis in measurement systems and calibration of novel sensing technologies. Recent projects show increasing sophistication in combining multiple sensor modalities with artificial intelligence for complex measurement challenges. An analysis of Professor Revel's recent publication trajectory reveals a strategic expansion from fundamental measurement techniques toward interdisciplinary applications addressing societal challenges. His 2024-2025 publications show strong emphasis on translating engineering measurement principles into healthcare solutions (particularly for elderly care and dementia monitoring) and sustainable construction practices. The research demonstrates evolving integration of artificial intelligence with traditional metrology, especially in structural health monitoring and activity recognition systems. While maintaining core expertise in mechanical and thermal measurements, his work increasingly addresses real-world problems like construction waste management, building energy efficiency, and aging-in-place technologies through collaborative, multidisciplinary approaches. Professor Revel leads several significant research initiatives including the GUARDIAN ecosystem for elderly care and the SOCIO-BEE project for citizen science air quality monitoring. His laboratory activities focus on sensor development, system integration, and practical field validation of measurement technologies. Current projects indicate active collaboration across engineering disciplines and with healthcare professionals, particularly in developing non-invasive monitoring solutions for aging populations. His work on the e-VITA virtual coaching system demonstrates commitment to creating practical technology solutions that improve quality of life while maintaining scientific rigor in measurement and validation.

• Numerical Analysis
• Optimization
• Machine Learning
• +5 more

Federica Porta is an Associate Professor at the Department of Physical, Computer and Mathematical Sciences, University of Modena and Reggio Emilia. Her academic career focuses on numerical analysis, optimization, and stochastic gradient methods, particularly in machine learning and image restoration. Her research interests include: Numerical Analysis and Statistics for Computer Engineering Numerical Optimization for Artificial Intelligence Stochastic Gradient Descent with Variance Control Deep Image Prior Frameworks Regularization Techniques for Biomedical Imaging Federica's recent publications (2021–2025) demonstrate expertise in hybrid gradient projection methods, adaptive learning rate selection, and deep learning applications for image segmentation and classification. She collaborates extensively with researchers like Giorgia Franchini, Valeria Ruggiero, and Luca Zanni, applying these methods to both convex and non-convex optimization problems. She teaches courses such as Numerical Analysis and Statistics for Computer Engineering, Numerical Analysis for Mathematics, and Numerical Optimization for Artificial Intelligence. Her teaching emphasizes MATLAB/Python implementation of numerical methods, convergence properties, and computational complexity analysis. Contact: federica.porta@unimore.it | Office: Mathematics Building, Via Campi 213/b

• Machine Learning
• Neural Networks
• Data Science
• +3 more

Giulia Fracastoro is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , where she contributes to teaching and research in Systems and Control Engineering (scientific sector IINF-04/A). Her research focuses on Machine Learning , Neural Networks , and Multimedia Signal Processing , with a strong emphasis on Deep Learning and Automatic Control applications. Teaching Roles: Course Lecturer for Discrete-Event Models and Systems in Computer Engineering (2021–2025), Automatic Controls in Electronic Engineering (2024–2025), and collaborations on courses like Optimization for Machine Learning . Research: Member of the Automatica (DET) research group , supervised PhD student Luca Savant Aira , and contributed to projects involving neural implicit world models , image/video processing , and deep neural network sparsification . Her publications span topics such as financial network stability, 3D super-resolution, and neural network quantization, reflecting interdisciplinary applications of machine learning. She holds multiple patents for image/video encoding/decoding technologies and has co-authored works with researchers like Enrico Magli and Sophie Fosson.

• Self-Organizing Networks
• Machine Learning
• Telecommunications
• +7 more

Monica Visintin is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino , Italy. She serves on the academic staff of the College of Biomedical Engineering and the College of Electronic, Telecommunications and Physics Engineering, teaching courses like Telemedicine Technologies , Machine Learning for Health , and ICT for Health across multiple academic years (2019–2025). Research Focus: Self-Organizing Networks (SON) with machine learning, satellite communications, and Direct-to-Satellite IoT constellations. Skills: Machine Learning, Signal Processing, Simulation Engineering, and Telecommunications. ERC Sectors: PE7_6 (Communication Technology), PE6_11 (Machine Learning), PE7_7 (Signal Processing), PE7_3 (Simulation Modeling). Her recent publications analyze satellite uplink code division multiplexing , nonlinear power amplifier impacts on LEO constellations , and machine learning applications in healthcare . She supervises PhD student Riccardo Schiavone and leads commercial research projects in collaboration with companies like Thales Alenia Space and Argotec.

• Machine Learning
• Deep Learning
• AI Compilers
• +7 more

Alessio Burrello is a Researcher at the Department of Control and Computer Engineering (DAUIN) , affiliated with Politecnico di Torino . His academic career is oriented toward Machine Learning , Deep Learning , and Embedded Systems . Research Interests : Burrello focuses on AI compilers , neural network optimization for edge devices, distributed systems , and signal processing applications . His work spans interdisciplinary domains like energy management for IoT , neuromorphic computing , and biomedical monitoring . Recent Publications highlight his contributions to TinyML , low-power microcontrollers , and heterogeneous computing . Notable works include optimizing DNN inference on multi-accelerator SoCs and deploying compact transformers for seizure detection. Teaching : Burrello has been a course owner for 'Optimized Execution of Neural Networks at the Edge' in the Computer and Systems Engineering program since 2024/25. He also contributes to courses in Agritech Engineering and Aerospace Engineering . Supervision : He supervises Javier Jesus Poveda Rodrigo , a PhD candidate in Artificial Intelligence , and participates in commercial research projects like Efficient Active Inference Deployment .

• Tunnelling
• Rock Engineering
• Excavation Engineering
• +5 more

Carmine Todaro serves as a Fixed-term tenure-track Assistant Professor at the Department of Environment, Land and Infrastructure Engineering (DIATI) of Polytechnic University of Turin, where he is affiliated with the Tunelling & Rock Engineering (TRE) laboratory. He contributes to multiple academic programs including Environmental and Land Engineering, Georesources and Geoenergy Engineering, and Agritech Engineering, while also serving on the Academic Board for the Civil and Environmental Engineering PhD program. His research centers on excavation engineering and safety, with specialized expertise in tunnelling mechanics, soil/rock conditioning for EPB-TBMs, ground improvement techniques, and sustainable mining practices. Current investigations include two-component grout durability, innovative wear prevention methods in rock excavation, and sustainable reuse of tunneling excavated materials, all emphasizing occupational safety and environmental impact reduction. Analysis of his 15 most recent publications (2022-2025) reveals a consistent focus on mechanized tunneling challenges, particularly grout behavior, soil conditioning optimization, and tool wear mechanisms. These works integrate laboratory experimentation, field data analysis, and statistical modeling to address practical engineering problems in underground construction, with growing emphasis on circular economy principles in tunneling operations. He actively supervises PhD candidate Alfio Di Giovanni (39th cycle, 2023-present) in Civil and Environmental Engineering and leads multiple funded research initiatives including ARCITunLin (2025-2026) for tunnel lining risk assessment, FSM2C (2023-2025) for marble slurry reuse in bicomponent mortars, and eight commercial contracts addressing soil conditioning, grout innovation, and highway tunnel risk assessment (2023-2025). As a core member of the Tunelling & Rock Engineering (TRE) laboratory at DIATI, he directs experimental programs on foam conditioning systems, TBM excavation parameters, and wear-resistant materials, maintaining strong industry partnerships through ongoing commercial research contracts with tunneling contractors and equipment manufacturers.

• Artificial Intelligence
• E-health
• Machine Learning
• +7 more

Marco Agostino Deriu is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Vice Coordinator of the Biomedical Engineering College and is a member of the PolitoBIOMed Lab - Biomedical Engineering Lab. His extensive academic portfolio includes teaching courses in biomechanical design, rational drug design, and multiscale biomechanics across multiple academic years. Professor Deriu's research spans multiple cutting-edge domains including artificial intelligence, e-health, machine learning, molecular modeling, multiphysics modeling, multiscale modeling, and pathology dynamics. His work bridges computational approaches with biomedical applications, with particular emphasis on translating research into clinical strategies. His expertise is reflected in the ERC sectors he works within: Bioinformatics, Biophysics, Computational Biology, Industrial Bioengineering, and Health Services Research. His publication portfolio demonstrates strong trends toward AI applications in healthcare, particularly in neonatal care, neurodegenerative disease modeling, and medical image analysis. The research shows increasing integration of machine learning with traditional biomedical engineering approaches, with a growing emphasis on explainable AI systems for clinical decision support. Recent work focuses on preterm infant monitoring, neurodevelopmental disorder diagnosis, and molecular-level disease modeling. Professor Deriu actively supervises numerous PhD students working on diverse biomedical engineering topics. His research portfolio includes significant grant funding from multiple sources including National Research projects (LANGMOL, DGDMF2, AIFood), EU Horizon 2020 projects (PARENT, CRYSTAL, VIRTUOUS), and private foundation research (GALATEA). He leads the PolitoBIOMed Lab - Biomedical Engineering Lab and is part of the Biomechanics of Solids and Fluids research group within DIMEAS. His collaborative network spans multiple institutions, including collaborations with University of Applied Sciences of Southern Switzerland (SUPSI), and involvement in international research consortia focused on neonatal health, neurodegenerative diseases, and AI applications in medicine.

• Road Safety
• Driver Behaviour
• Driving Simulation
• +6 more

Marco Bassani is a Full Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin. He is a member of the SISCON Interdepartmental Center for Infrastructure Safety and actively participates in internationalization initiatives. His research focuses on road safety, driver behavior, driving simulation, road geometry, and sustainable materials including recycled aggregates stabilized with geopolymers. Scientific Branch: CEAR-03/A (Roads, Railways, and Airports) ERC Sector: PE8_3 (Civil Engineering, Waste Treatment) SDG Contributions: Climate Action, Sustainable Cities, Good Health His recent research projects include: GENIUS : Next-generation driver-vehicle interaction for automated systems (2024-2027) ARCADE : Accident risk reduction for vulnerable road users (2023-2025) DIRECTIONS : Driver-road interaction on future infrastructures (2022-2024) Scientific Recognitions: Award at 3rd European Symposium on Bituminous Materials (1999) Advisory Board Member, Transportation Research Board (2020-2022) Editorial Board Member, Transportation Research Part F (2023-) He has supervised numerous PhD students and taught courses on predictive road safety methods, experimental design, and transportation infrastructure at both undergraduate and graduate levels since 2010.

• Biomedical Engineering
• Wireless Power Transfer
• Bio-inspired Electronics
• +5 more

Paolo Motto Ros is an Assistant Professor at the Department of Electronics and Telecommunications at Politecnico di Torino, with the MiNES (Micro&Nano Electronic Systems) group. He holds a Ph.D. in electronic engineering from Politecnico di Torino (2009), following an M.Sc. (2005). His career spans roles at Neuronica Laboratory (2009-2012), Istituto Italiano di Tecnologia (2012-2019), and since 2019 at Politecnico di Torino as Senior Post-Doctoral Researcher and Adjunct Professor. He is an IEEE member and has organized conferences like BioCAS, ICECS, and ISCAS satellite events. Currently, he supervises 6 PhD students in projects related to wireless power systems and biomedical devices. Education: M.Sc. and Ph.D. in Electronic Engineering (Politecnico di Torino, 2005/2009) Research Interests focus on: Event-driven digital integrated circuits and systems Low-power smart sensor networks Bio-inspired electronics for robotics and medicine Wireless power transfer for implants and wearables Human motion applications and agrifood electronics Publication Trends show expertise in biomedical device design, neural interfaces, wireless power systems, and bio-inspired wearables. He leads the NerveRepack EU-funded project (2023-2027) for neural exoprosthetics. His lab affiliations include the VLSILAB group, and he serves on editorial boards for Frontiers in Bioengineering and Biotechnology . No scientific awards are mentioned in the provided texts.

• Bioengineering
• Artificial Intelligence
• Explainable AI
• +7 more

Gloria Menegaz is a Full Professor of Bioengineering at the Department of Engineering for Innovation Medicine, University of Verona, where she directs the BraiNAVLab. She has been serving in this position since 2021, following her appointment as Full Professor in Computer Science in 2017. Previously, she held Associate Professor and Assistant Professor positions at the University of Verona, University of Siena, and University of Fribourg (Switzerland). Her research spans multiple interdisciplinary fields including bioengineering, artificial intelligence, machine learning, and neuroimaging. She specializes in explainable AI methods applied to biomedical data, with particular focus on brain connectivity analysis using multi-modal neuroimaging data (fMRI, EEG) integrated with genetic information. Her work has resulted in over 160 publications in prestigious journals including IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging, and Frontiers in Neuroscience. Her recent research trends emphasize the development of explainable AI frameworks for clinical applications, particularly in neurological disorder diagnosis and treatment planning. She has pioneered approaches for integrating structural and functional brain connectivity data with genetic markers to identify numerical biomarkers for various neurological conditions. Senior Member of IEEE (2017) Chair of Steering Committee of IEEE Transactions on Medical Imaging Member of IEEE-SPS Challenges and Data Collection Technical Committee Vice-Chair of IEEE Bioimaging and Signal Processing Committee Recipient of Rita Levi Montalcini grant Throughout her career, Professor Menegaz has secured over 1 million euros in research funding from international institutions including the European Commission (H2020, FP7), European Science Foundation, MIUR (PRIN, SIR, FIRB), and ANR (France). She maintains extensive international collaborations with Georgia Tech University, INRIA (France), EPFL (Switzerland), Queen Mary University, and University College London. Her laboratory, BraiNAVLab, focuses on developing advanced computational methods for brain imaging analysis and navigation.

• Aeroelasticity
• Finite Element Analysis
• Structural Dynamics
• +5 more

Matthew Philipp is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino. His research focuses on advanced structural analysis, including aeroelasticity, finite element methodologies, and nonlinear dynamics of rotating and composite structures. He contributes to the MUL2 research group, specializing in layered structures and multifield analyses. Philipp teaches courses such as Aeroelasticity and Structural Mechanics at both undergraduate and graduate levels, and supervises multiple PhD students in topics like metamaterials and composite fracture analysis. His work spans projects like ASSESS (smart composite monitoring) and DRONE-DARE (drone-based structural evaluation), emphasizing innovation in aerospace and mechanical engineering. Education & Teaching: Philipp holds a role in the Mechanical Engineering and Aerospace Engineering doctoral programs, teaching modules on structural mechanics, aeronautical legislation, and aerospace design. His courses emphasize practical applications in structural analysis and computational methods. Research Focus: His research integrates computational engineering with advanced materials, focusing on high-fidelity finite element models for dynamic systems, rotor dynamics, and composite material behavior. Key areas include wave propagation in metamaterials, thermal-structural coupling, and fracture mechanics. Grants & Collaborations: He participates in competitive grants such as PNRR Mission 4 and EU MSCA projects, leveraging interdisciplinary approaches to solve challenges in structural health monitoring and aerospace system reliability. Labs & Teams: As part of the MUL2 group, he collaborates on developing unified theories for structural analysis and contributes to labs focused on composite manufacturing and virtual testing.

• Partial Differential Equations
• Fluid Dynamics
• Gas Dynamics
• +3 more

Elisabetta Chiodaroli is an Associate Professor at the Department of Mathematics, University of Pisa. Her research focuses on Partial Differential Equations, particularly in fluid dynamics and gas dynamics. She specializes in analyzing weak solutions, non-uniqueness phenomena, and ill-posedness in systems such as the Euler equations and Boussinesq equations. Her work bridges mathematical analysis with applications in compressible flow and thermomechanical systems. Key research interests include nonlinear wave equations, compressible gas dynamics, and the mathematical foundations of fluid mechanics. She has contributed to understanding critical radial wave maps and concentration compactness techniques. Her recent studies emphasize the rigorous analysis of dissipative models and energy dissipation rates in fluid systems. Chiodaroli has organized and participated in several academic events, such as the 9th GAMM-Seminar on Analysis of Partial Differential Equations and the Workshop on Variational Problems and PDEs. She actively engages in collaborative research with institutions like the University of Basel and the Czech Academy of Sciences, as evidenced by her co-authored papers with experts such as Ondřej Kreml and Camillo De Lellis.